Data Engineer II at DetailPage in Remote or Utah
- Company: DetailPage
- Location: Remote or Utah
- Posted: Sep 17, 2026
- Type: Full-time
- Experience: 3+ years
Overview
Design, build, and optimize scalable ETL/ELT pipelines across AWS (Aurora, Redshift, Glue) that keep data flowing reliably to our engineering, analytics, and product teams — powering the AI-assisted insights behind DetailPage's patented content optimization platform.
Job description
- Design, build, and optimize scalable ETL/ELT pipelines across AWS (Aurora, Redshift, Glue) that keep data flowing reliably to our engineering, analytics, and product teams — powering the AI-assisted insights behind DetailPage's patented content optimization platform.
- Overview
Responsibilities
- Design, develop, and maintain scalable data pipelines using a variety of AWS services
- Work with relational databases such as Aurora (PostgreSQL), Redshift, and AWS Glue for large-scale data management
- Develop and optimize ETL/ELT processes for smooth data integration from multiple sources
- Collaborate with cross-functional teams to ensure data accessibility and integrity across platforms
- Use Python, SQL, and Pandas for data manipulation, analysis, and workflow automation
- Implement unit testing (PyTest) to ensure code reliability
- Manage API integrations and development using FastAPI
- Assist with infrastructure as code (IaC) using CDK and Terraform
- Build CI/CD pipelines in Jenkins
Requirements
- SQL mastery – expertise in complex SQL queries and database optimization
- 2-3 years of experience in Data Engineering with AWS and Python
- Linux proficiency – comfortable with shell scripting, common CLI tools, and building/testing Linux-based Docker images
- Advanced Python – strong hands-on experience, ideally with Data Engineering tools like PySpark, Pandas, and SQLAlchemy
- Git proficiency – comfortable with version control, branching, and collaboration
- ETL/ELT experience – proven ability to build and optimize extract, transform, and load processes
- Unit testing – familiarity with PyTest or similar tools
- AWS experience with Aurora (PostgreSQL or MySQL), Redshift, Fargate, Lambda, SQS, and IAM, plus tools like Boto3 and the AWS CLI
- Airflow expertise, particularly AWS Managed Airflow, for scheduling and orchestrating data workflows
- API development experience with API Gateway and FastAPI
- Infrastructure as Code experience with CDK or Terraform
- Familiarity with caching tools like Redis
- Basic DevOps knowledge for CI/CD pipelines and dev workflow optimization
- Familiarity with DBT
Skills
Required
- SQL
- Python
- AWS (Aurora, Redshift, Glue)
- Linux
- Shell scripting
- Docker
- PySpark
- Pandas
- SQLAlchemy
- Git
- ETL/ELT
- PyTest
Preferred
- AWS (Fargate, Lambda, SQS, IAM)
- Boto3
- AWS CLI
- Airflow
- API Gateway
- FastAPI
- CDK
- Terraform
Benefits
- Compensation and equity details to be finalized by hiring team.
About DetailPage
DetailPage.com helps Amazon brands grow organic traffic through content optimization and market segment share insights, using a patented (US Patent No. 12,093,340), AI-assisted process to identify high-traffic keywords and rewrite product content for sustainable organic growth. We're looking for a Data Engineer to build and optimize scalable data pipelines, support our ETL/ELT and API processes, and keep data flowing seamlessly across our organization and to our end users — working closely with engineering, analytics, and product.